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Publication search results
found 3,397 matches
- 2024
- Vidyesh Rao Anisetti, Ananth Kandala, Benjamin Scellier, J. M. Schwarz:
Frequency Propagation: Multimechanism Learning in Nonlinear Physical Networks. Neural Comput. 36(4): 596-620 (2024) - Madison Cotteret, Hugh Greatorex, Martin Ziegler, Elisabetta Chicca:
Vector Symbolic Finite State Machines in Attractor Neural Networks. Neural Comput. 36(4): 549-595 (2024) - Garrett Crutcher:
Lateral Connections Improve Generalizability of Learning in a Simple Neural Network. Neural Comput. 36(4): 705-717 (2024) - Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan:
Toward Improving the Generation Quality of Autoregressive Slot VAEs. Neural Comput. 36(5): 858-896 (2024) - Yusuke Endo, Koujin Takeda:
Performance Evaluation of Matrix Factorization for fMRI Data. Neural Comput. 36(1): 128-150 (2024) - Zhiying Fang, Tong Mao, Jun Fan:
Learning Korobov Functions by Correntropy and Convolutional Neural Networks. Neural Comput. 36(4): 718-743 (2024) - Zhiwei Fang, Sifan Wang, Paris Perdikaris:
Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries. Neural Comput. 36(3): 475-498 (2024) - Joan Gort:
Emergence of Universal Computations Through Neural Manifold Dynamics. Neural Comput. 36(2): 227-270 (2024) - C. Daniel Greenidge, Benjamin Scholl, Jacob L. Yates, Jonathan W. Pillow:
Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression. Neural Comput. 36(2): 175-226 (2024) - Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang:
Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms. Neural Comput. 36(5): 897-935 (2024) - Seong-il Im, Jae-Seung Jeong, Junseo Lee, Changhwan Shin, Jeong Ho Cho, Hyunsu Ju:
Column Row Convolutional Neural Network: Reducing Parameters for Efficient Image Processing. Neural Comput. 36(4): 744-758 (2024) - Aditi Jha, Zoe C. Ashwood, Jonathan W. Pillow:
Active Learning for Discrete Latent Variable Models. Neural Comput. 36(3): 437-474 (2024) - BethAnna Jones, Lawrence Snyder, ShiNung Ching:
Heterogeneous Forgetting Rates and Greedy Allocation in Slot-Based Memory Networks Promotes Signal Retention. Neural Comput. 36(5): 1022-1040 (2024) - Jan Karbowski, Paulina Urban:
Cooperativity, Information Gain, and Energy Cost During Early LTP in Dendritic Spines. Neural Comput. 36(2): 271-311 (2024) - Hamid Karimi-Rouzbahani:
Evidence for Multiscale Multiplexed Representation of Visual Features in EEG. Neural Comput. 36(3): 412-436 (2024) - Daisuke Kawahara, Shigeyoshi Fujisawa:
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity. Neural Comput. 36(3): 385-411 (2024) - Kota Kawamoto, Masato Uchida:
Q&A Label Learning. Neural Comput. 36(2): 312-349 (2024) - Salman Khan, Alexander Wong, Bryan P. Tripp:
Modeling the Role of Contour Integration in Visual Inference. Neural Comput. 36(1): 33-74 (2024) - Daniel Kunin, Javier Sagastuy-Breña, Lauren Gillespie, Eshed Margalit, Hidenori Tanaka, Surya Ganguli, Daniel L. K. Yamins:
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion. Neural Comput. 36(1): 151-174 (2024) - Satoshi Kuroki, Kenji Mizuseki:
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay. Neural Comput. 36(4): 501-548 (2024) - Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt:
Object-Centric Scene Representations Using Active Inference. Neural Comput. 36(4): 677-704 (2024) - Claus Metzner, Marius E. Yamakou, Dennis Voelkl, Achim Schilling, Patrick Krauss:
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks. Neural Comput. 36(3): 351-384 (2024) - Xu Pan, Ruben Coen Cagli, Odelia Schwartz:
Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks. Neural Comput. 36(4): 621-644 (2024) - William F. Podlaski, Christian K. Machens:
Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks. Neural Comput. 36(5): 803-857 (2024) - Alireza Poshtkohi, John J. Wade, Liam McDaid, Junxiu Liu, Mark Dallas, Angela Bithell:
Mathematical Modeling of PI3K/Akt Pathway in Microglia. Neural Comput. 36(4): 645-676 (2024) - Anca Radulescu, Danae Evans, Amani-Dasia Augustin, Anthony Cooper, Johan Nakuci, Sarah Muldoon:
Synchronization and Clustering in Complex Quadratic Networks. Neural Comput. 36(1): 75-106 (2024) - Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish:
Active Predictive Coding: A Unifying Neural Model for Active Perception, Compositional Learning, and Hierarchical Planning. Neural Comput. 36(1): 1-32 (2024) - Mohammad Samavat, Thomas M. Bartol, Kristen M. Harris, Terrence J. Sejnowski:
Synaptic Information Storage Capacity Measured With Information Theory. Neural Comput. 36(5): 781-802 (2024) - Beck Strohmer, Elias Najarro, Jessica Ausborn, Rune W. Berg, Silvia Tolu:
Sparse Firing in a Hybrid Central Pattern Generator for Spinal Motor Circuits. Neural Comput. 36(5): 759-780 (2024) - Guanyu Yang, Kaizhu Huang, Rui Zhang, Xi Yang:
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning. Neural Comput. 36(5): 936-962 (2024)
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